[HTML][HTML] Optical meta-waveguides for integrated photonics and beyond
The growing maturity of nanofabrication has ushered massive sophisticated optical
structures available on a photonic chip. The integration of subwavelength-structured …
structures available on a photonic chip. The integration of subwavelength-structured …
Artificial intelligence in meta-optics
Recent years have witnessed promising artificial intelligence (AI) applications in many
disciplines, including optics, engineering, medicine, economics, and education. In particular …
disciplines, including optics, engineering, medicine, economics, and education. In particular …
Physics-informed neural networks with hard constraints for inverse design
Inverse design arises in a variety of areas in engineering such as acoustic, mechanics,
thermal/electronic transport, electromagnetism, and optics. Topology optimization is an …
thermal/electronic transport, electromagnetism, and optics. Topology optimization is an …
Nanophotonics for light detection and ranging technology
Light detection and ranging (LiDAR) technology, a laser-based imaging technique for
accurate distance measurement, is considered one of the most crucial sensor technologies …
accurate distance measurement, is considered one of the most crucial sensor technologies …
Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling
The rise of machine learning has fueled the discovery of new materials and, especially,
metamaterials—truss lattices being their most prominent class. While their tailorable …
metamaterials—truss lattices being their most prominent class. While their tailorable …
Deep neural networks for the evaluation and design of photonic devices
The data-science revolution is poised to transform the way photonic systems are simulated
and designed. Photonic systems are, in many ways, an ideal substrate for machine learning …
and designed. Photonic systems are, in many ways, an ideal substrate for machine learning …
Analogue computing with metamaterials
Despite their widespread use for performing advanced computational tasks, digital signal
processors suffer from several restrictions, including low speed, high power consumption …
processors suffer from several restrictions, including low speed, high power consumption …
Revisiting the design strategies for metasurfaces: fundamental physics, optimization, and beyond
Over the last two decades, the capabilities of metasurfaces in light modulation with
subwavelength thickness have been proven, and metasurfaces are expected to miniaturize …
subwavelength thickness have been proven, and metasurfaces are expected to miniaturize …
Pushing the limits of functionality‐multiplexing capability in metasurface design based on statistical machine learning
As 2D metamaterials, metasurfaces provide an unprecedented means to manipulate light
with the ability to multiplex different functionalities in a single planar device. Currently, most …
with the ability to multiplex different functionalities in a single planar device. Currently, most …
Deep learning for the design of photonic structures
Innovative approaches and tools play an important role in shaping design, characterization
and optimization for the field of photonics. As a subset of machine learning that learns …
and optimization for the field of photonics. As a subset of machine learning that learns …